The Edge Computing Cloud Architecture Based on 5G Network for Industrial Vision Detection
Tielin Lu, Zitian Fan, Lei Yue, Yujia Shang, Chunxi Wang · 2021
The emergence of a large number of real-time data putforward higher requirements on network transmission technology. The new edge computing cloud technology based on 5G network has become an important research direction of vision detection. However, for the industrial users, they still confuse the architecture of the non-public 5G network (NPN) and misunderstand the data quality of service (QOS). In order to overcome the unstable network structure of 5G for vision detection in industry in a limited bandwidth, achieve high-quality transmission of detection image, and obtain intelligent optimal results, has become an urgent problem to be solved. This paper proposes the network configuration and mode, also design a intelligent edge computing cloud based on 5G scheme. In the ends, an vision detection architecture case has been developed on the 5G communication structure and verified visual detection application scene design its feasibility purpose in the wireless network.